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18 search results found

Multidiffusion ⭐ 724

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

Texturize ⭐ 606

🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Blended Latent Diffusion ⭐ 458

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Pytorch Generative ⭐ 355

Easy generative modeling in PyTorch.

Person Image Synthesis via Denoising Diffusion Model (CVPR 2023)

Diffusionfastforward ⭐ 263

course on diffusion generative models in a fast forward mode

Joligen ⭐ 180

Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

Gesturegan ⭐ 164

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Deceived ⭐ 148

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Icassp 2023 Papers ⭐ 139

ICASSP 2023 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023 conference. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Consistency Models ⭐ 89

Toolkits for OpenAI's Consistency Models.

Vae For Image Generation ⭐ 75

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Generating Devanagari Using Draw ⭐ 74

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

Blur Diffusion ⭐ 72

Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

Neurips18_hierchical_image_manipulation ⭐ 49

Pytorch Implementation of NeurIPS'18 paper on Generative Image Manipulation with Hierarchical Semantic Structures

Gatedpixelcnnpytorch ⭐ 46

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

unsupervised video and image generation

Conffusion ⭐ 37

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"

Trianglegan ⭐ 27

TriangleGAN, ACM MM 2019.

NP DRAW paper released code

Particle Guidance ⭐ 21

Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Generative Model For Image Generation ⭐ 14

Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).

CFG-GAN: Composite functional gradient learning of generative adversarial models

Awesome Generative Models ⭐ 8

A collection of awesome generative model papers, frameworks, libraries, software and resources for text, image, video, animation, code generation

Code for paper `Improving the Fairness of Deep Generative Models without Retraining`

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